Главная
Study mode:
on
1
Introduction
2
Disclaimers
3
Ethics and morals
4
Who is teaching this
5
Stanley Milgram
6
Clara
7
Google
8
Google AI
9
Apple
10
Amazon
11
The Oppenheimer Effect
12
We make a little change
13
Issues today
14
Questions to ask ourselves
15
Dark patterns
16
Bias
17
Garbage
18
Computer in the home
19
Deep neural networks
20
The Copenhagen letter
21
Conclusion
Description:
Explore the ethical challenges in AI development and implementation through this thought-provoking conference talk. Delve into the speaker's 40 years of experience in user experience (UX) design, examining issues from addictive software to problematic design trends. Investigate the impact of faked or ignored research, internal company politics, and cognitive biases on ethical decision-making. Analyze the consequences of dark patterns that suppress accessibility and diversity. Reflect on the responsibility of technologists in shaping the future and consider how seemingly innocent decisions can inadvertently promote discrimination. Gain insights into building a better world through ethical AI practices, addressing topics such as the Oppenheimer Effect, dark patterns, bias, and deep neural networks. Engage with critical questions about the role of AI in society and learn how to navigate difficult choices in a non-binary world.

The Ethics of AI - Dealing with Difficult Choices in a Non-Binary World

MLCon | Machine Learning Conference
Add to list